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Heart rate as a predictor of mortality: The MATISS project

Author

Listed:
  • Seccareccia, F.
  • Pannozzo, F.
  • Dima, F.
  • Minoprio, A.
  • Menditto, A.
  • Noce, C.L.
  • Giampaoli, S.

Abstract

Objectives, This study sought to verify the independent role of heart rate in the prediction of all-cause, cardiovascular, and noncardiovascular mortality in a low-risk male population. Methods. In an Italian population-based observational study, heart rate was measured in 2533 men, aged 40 to 69 years, between 1984 and 1993, Data on cardiovascular risk factors were collected according to standardized procedures. Vital status was updated to December 1997. Results. Of 2533 men followed up (representing 24457 person-years), 393 men died. Age-adjusted death rates for 5 heart rate levels showed increasing trends. The adjusted hazard rate ratios for each heart rate increment were 1.52 (95% confidence interval [Cl] =1.29, 1.78) for all-cause mortality, 1.63 (95% Cl = 1.26, 2.10) for cardiovascular mortality, and 1.47 (95% Cl = 1.19, 1.80) for noncardiovascular mortality. Relative risks between extreme levels were more than 2-fold for all endpoints considered. Conclusions, Heart rate is an independent predictor of cardiovascular, noncardiovascular, and total mortality in this Italian middle-aged male population.

Suggested Citation

  • Seccareccia, F. & Pannozzo, F. & Dima, F. & Minoprio, A. & Menditto, A. & Noce, C.L. & Giampaoli, S., 2001. "Heart rate as a predictor of mortality: The MATISS project," American Journal of Public Health, American Public Health Association, vol. 91(8), pages 1258-1263.
    • Handle: RePEc:aph:ajpbhl:2001:91:8:1258-1263_9
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    Cited by:

    1. Davillas, A.; Jones, A.M.; Benzeval, M.;, 2017. "The income-health gradient: Evidence from self-reported health and biomarkers using longitudinal data on income," Health, Econometrics and Data Group (HEDG) Working Papers 17/04, HEDG, c/o Department of Economics, University of York.
    2. Patel, Pankaj C. & Wolfe, Marcus T. & Williams, Trenton A., 2019. "Self-employment and allostatic load," Journal of Business Venturing, Elsevier, vol. 34(4), pages 731-751.
    3. Yi-Ching Lynn Ho & Vivian Shu Yi Lee & Moon-Ho Ringo Ho & Gladis Jing Lin & Julian Thumboo, 2021. "Towards a Parsimonious Pathway Model of Modifiable and Mediating Risk Factors Leading to Diabetes Risk," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
    4. Jeffrey T. Howard & P. Johnelle Sparks, 2016. "The Effects of Allostatic Load on Racial/Ethnic Mortality Differences in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(4), pages 421-443, August.
    5. Seeman, Teresa & Merkin, Sharon S. & Crimmins, Eileen & Koretz, Brandon & Charette, Susan & Karlamangla, Arun, 2008. "Education, income and ethnic differences in cumulative biological risk profiles in a national sample of US adults: NHANES III (1988-1994)," Social Science & Medicine, Elsevier, vol. 66(1), pages 72-87, January.
    6. Davillas, Apostolos & Pudney, Stephen, 2016. "Concordance of health states in couples. Analysis of self-reported, nurse administered and blood-based biomarker data in Understanding Society," ISER Working Paper Series 2016-15, Institute for Social and Economic Research.
    7. Xuejie Ding & Francesco C. Billari & Stuart Gietel-Basten, 2017. "Health of midlife and older adults in China: the role of regional economic development, inequality, and institutional setting," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(8), pages 857-867, November.
    8. Michael McCrea & Mark Farrell, 2018. "A Conceptual Model for Pricing Health and Life Insurance Using Wearable Technology," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(3), pages 389-411, December.
    9. Inhwan Lee & Jeonghyeon Kim & Hyunsik Kang, 2022. "Adding Estimated Cardiorespiratory Fitness to the Framingham Risk Score and Mortality Risk in a Korean Population-Based Cohort Study," IJERPH, MDPI, vol. 19(1), pages 1-13, January.

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